Hao-FANG-92's repositories

3D_PSPNet

Pyramid Scene Parsing Network in 3D: improving semantic seg- mentation of point clouds with multi-scale contextual information

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3D-Machine-Learning

A resource repository for 3D machine learning

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3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

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AdelaiDepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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awesome-scene-understanding

A resource repository for scene understanding

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awesome_3DReconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

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CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

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instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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Lidar_For_AD_references

A list of references on lidar point cloud processing for autonomous driving

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ManifoldPlus

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

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nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

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NeuS

Code release for NeuS

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OpenDigitalTwin

This project will create an open source CAX platform that enables users to build and connect digital twins for products and processes.

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PointGroup

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

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pointnerf

Point-NeRF: Point-based Neural Radiance Fields

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PrimitiveNet

PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)

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robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

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SoftGroup

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

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svox2

Plenoxels: Radiance Fields without Neural Networks, Code release WIP

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